{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "eff9b43d",
   "metadata": {},
   "source": [
    "# 项目介绍\n",
    "A/B测试常用于比较不同设计，运营方案的优劣，以辅助决策。\\\n",
    "本项目分析以支付宝营销活动为例，通过广告点击率指标比较两组营销策略的广告投放效果。\n",
    "\n",
    "本项目所用数据集来自阿里云天池\\\n",
    "[阿里云天池 - Audience Expansion Dataset](https://tianchi.aliyun.com/dataset/dataDetail?dataId=50893&lang=zh-cn)\\\n",
    "该数据集记录了支付宝两组营销策略的活动情况：\n",
    "+ effect_tb.csv:广告点击情况数据集\n",
    "\n",
    "涉及字段如下：\n",
    "\n",
    "+ dmp_id:营销策略编号（设定对照组编号为1，营销策略一编号为2，营销策略二编号为3）\n",
    "+ user_id:支付宝用户ID\n",
    "+ label:用户当天是否点击活动广告（未点击为0，已点击为1）\n",
    "\n",
    "关键词: AB检测\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2f7c918",
   "metadata": {},
   "source": [
    "# 数据处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "77df7049",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:39.299206Z",
     "start_time": "2025-04-17T01:45:38.140025Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "179851bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:39.754736Z",
     "start_time": "2025-04-17T01:45:39.301210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>Label</th>\n",
       "      <th>dmp_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1000004</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1000004</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  Label  dmp_id\n",
       "0        1      0       1\n",
       "1  1000004      0       1\n",
       "2  1000004      0       2"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load data\n",
    "data = pd.read_csv('effect_tb.csv', header = None)\n",
    "data.columns = [\"dt\" ,\"user_id\", \"Label\" ,\"dmp_id\"]\n",
    "\n",
    "#日志天数属性用不上，删除该列\n",
    "data = data.drop(columns =\"dt\") \n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "05dca4c5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:39.897408Z",
     "start_time": "2025-04-17T01:45:39.754736Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>Label</th>\n",
       "      <th>dmp_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.645958e+06</td>\n",
       "      <td>2.645958e+06</td>\n",
       "      <td>2.645958e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.112995e+06</td>\n",
       "      <td>1.456297e-02</td>\n",
       "      <td>1.395761e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.828262e+06</td>\n",
       "      <td>1.197952e-01</td>\n",
       "      <td>6.920480e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.526772e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.062184e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.721132e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.265402e+06</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            user_id         Label        dmp_id\n",
       "count  2.645958e+06  2.645958e+06  2.645958e+06\n",
       "mean   3.112995e+06  1.456297e-02  1.395761e+00\n",
       "std    1.828262e+06  1.197952e-01  6.920480e-01\n",
       "min    1.000000e+00  0.000000e+00  1.000000e+00\n",
       "25%    1.526772e+06  0.000000e+00  1.000000e+00\n",
       "50%    3.062184e+06  0.000000e+00  1.000000e+00\n",
       "75%    4.721132e+06  0.000000e+00  2.000000e+00\n",
       "max    6.265402e+06  1.000000e+00  3.000000e+00"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c47d012f",
   "metadata": {},
   "source": [
    "## 重复值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a87e12b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:39.904768Z",
     "start_time": "2025-04-17T01:45:39.897408Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2645958, 3)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#shape of df\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "935ac6bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:40.131177Z",
     "start_time": "2025-04-17T01:45:39.904768Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id    2410683\n",
       "Label            2\n",
       "dmp_id           3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#distinct count of columns\n",
    "data.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6be0261b",
   "metadata": {},
   "source": [
    "数据行数与独立用户数不统一，检查是否存在重复行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bfcfb701",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:40.609110Z",
     "start_time": "2025-04-17T01:45:40.131177Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>Label</th>\n",
       "      <th>dmp_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8529</th>\n",
       "      <td>1027</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1485546</th>\n",
       "      <td>1027</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1579415</th>\n",
       "      <td>1471</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127827</th>\n",
       "      <td>1471</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404862</th>\n",
       "      <td>2468</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382121</th>\n",
       "      <td>6264633</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382245</th>\n",
       "      <td>6264940</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2575140</th>\n",
       "      <td>6264940</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382306</th>\n",
       "      <td>6265082</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2575171</th>\n",
       "      <td>6265082</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25966 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         user_id  Label  dmp_id\n",
       "8529        1027      0       1\n",
       "1485546     1027      0       1\n",
       "1579415     1471      0       1\n",
       "127827      1471      0       1\n",
       "404862      2468      0       1\n",
       "...          ...    ...     ...\n",
       "1382121  6264633      0       1\n",
       "1382245  6264940      0       1\n",
       "2575140  6264940      0       1\n",
       "1382306  6265082      0       3\n",
       "2575171  6265082      0       3\n",
       "\n",
       "[25966 rows x 3 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.duplicated(keep=False)].sort_values(by = [\"user_id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6aae184b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:41.486583Z",
     "start_time": "2025-04-17T01:45:40.609110Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>Label</th>\n",
       "      <th>dmp_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [user_id, Label, dmp_id]\n",
       "Index: []"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop duplicate\n",
    "data = data.drop_duplicates()\n",
    "#检查是否遗漏\n",
    "data[data.duplicated(keep=False)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e15ad8ea",
   "metadata": {},
   "source": [
    "## 空值处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b7b0a275",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:41.512337Z",
     "start_time": "2025-04-17T01:45:41.486583Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2632975 entries, 0 to 2645957\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count    Dtype\n",
      "---  ------   --------------    -----\n",
      " 0   user_id  2632975 non-null  int64\n",
      " 1   Label    2632975 non-null  int64\n",
      " 2   dmp_id   2632975 non-null  int64\n",
      "dtypes: int64(3)\n",
      "memory usage: 80.4 MB\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\joyar\\AppData\\Local\\Temp\\ipykernel_22908\\1411232747.py:2: FutureWarning: null_counts is deprecated. Use show_counts instead\n",
      "  data.info(null_counts=True)\n"
     ]
    }
   ],
   "source": [
    "#check null values\n",
    "data.info(null_counts=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1051e0fb",
   "metadata": {},
   "source": [
    "数据集无空值，无需处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1de70ecf",
   "metadata": {},
   "source": [
    "## 异常值检查\n",
    "通过透视表检查各属性字段是否存在不合理取值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6c1a817e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:41.825893Z",
     "start_time": "2025-04-17T01:45:41.512337Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Label</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dmp_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1881745</td>\n",
       "      <td>23918</td>\n",
       "      <td>1905663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>404811</td>\n",
       "      <td>6296</td>\n",
       "      <td>411107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>307923</td>\n",
       "      <td>8282</td>\n",
       "      <td>316205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>2594479</td>\n",
       "      <td>38496</td>\n",
       "      <td>2632975</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Label         0      1      All\n",
       "dmp_id                         \n",
       "1       1881745  23918  1905663\n",
       "2        404811   6296   411107\n",
       "3        307923   8282   316205\n",
       "All     2594479  38496  2632975"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.pivot_table(index=\"dmp_id\",columns=\"Label\",values=\"user_id\",aggfunc=\"count\",margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d65b122e",
   "metadata": {},
   "source": [
    "未发现异常值，无需处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c335274b",
   "metadata": {},
   "source": [
    "## 数据类型检查"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "11cce705",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:41.833863Z",
     "start_time": "2025-04-17T01:45:41.825893Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id    int64\n",
       "Label      int64\n",
       "dmp_id     int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bcbb868",
   "metadata": {},
   "source": [
    "数据类型正常，无需处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64517660",
   "metadata": {},
   "source": [
    "# 样本容量检验\n",
    "进行AB测试之前，需要检查样本容量是否满足实验所需最小值\\\n",
    "借助Evan Miller样本量计算工具:\\\n",
    "[Sample Size Calculator](https://www.evanmiller.org/ab-testing/sample-size.html)\\\n",
    "首先需要设置点击率基准线和最小提升比例\\\n",
    "将对照组的点击率设置为基准线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a2653321",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:41.886129Z",
     "start_time": "2025-04-17T01:45:41.834870Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.012551012429794775"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#click rate of control group\n",
    "data[data[\"dmp_id\"]==1][\"Label\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7342768a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:41.924696Z",
     "start_time": "2025-04-17T01:45:41.886129Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    1905663\n",
       "2     411107\n",
       "3     316205\n",
       "Name: dmp_id, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sample size of campaigns\n",
    "data[\"dmp_id\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ece635dd",
   "metadata": {},
   "source": [
    "对照组点击率为1.26%，假定我们希望新的营销策略能够让广告点击率提升至少一个百分点，则最小所需样本量为：2167\\\n",
    "两组营销活动的样本量分别为41.11万和31.62万，满足最小样本量需求"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "137deaf7",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51f755f9",
   "metadata": {},
   "source": [
    "# 假设检验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b51a2458",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:42.011493Z",
     "start_time": "2025-04-17T01:45:41.926699Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "对照组:  0.012551012429794775\n",
      "营销策略一:  0.015314747742072015\n",
      "营销策略二:  0.026191869198779274\n"
     ]
    }
   ],
   "source": [
    "#click rate of groups\n",
    "print(\"对照组: \",data[data[\"dmp_id\"]==1][\"Label\"].mean())\n",
    "print(\"营销策略一: \",data[data[\"dmp_id\"]==2][\"Label\"].mean())\n",
    "print(\"营销策略二: \",data[data[\"dmp_id\"]==3][\"Label\"].mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8444a8d3",
   "metadata": {},
   "source": [
    "可以看到策略一和策略二相较对照组在点击率上都有不同程度的提升\\\n",
    "其中策略一提升0.2个百分点，策略二提升1.3个百分点，只有策略二满足了对点击率提升的要求\\\n",
    "接下来进行假设检验，看策略二点击率提升是否显著\n",
    "\n",
    "**a.零假设和备选假设** \\\n",
    "对照组点击率为p1，策略二点击率为p2\\\n",
    "零假设H0：p1 ≥ p2\\\n",
    "备选假设H1：p1 < p2\n",
    "\n",
    "**b.分布类型，检验类型和显著性水平**\\\n",
    "样本服从二点分布，独立双样本，样本大小n>30，总体均值和标准差位置，所以采用Z检验。显著性水平α取0.05"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09ac9c47",
   "metadata": {},
   "source": [
    "## 方法一：公式计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e7d599f6",
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     "start_time": "2025-04-17T01:45:42.011493Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "总和点击率： 0.014492310074225832\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\joyar\\AppData\\Local\\Temp\\ipykernel_22908\\3003660110.py:6: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  c_old=len(data[data.dmp_id ==1][data.Label==1])\n",
      "C:\\Users\\joyar\\AppData\\Local\\Temp\\ipykernel_22908\\3003660110.py:7: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  c_new=len(data[data.dmp_id ==3][data.Label==1])\n"
     ]
    }
   ],
   "source": [
    "#用户数\n",
    "n_old=len(data[data.dmp_id==1])#对照组 \n",
    "n_new=len(data[data.dmp_id==3])#策略二 \n",
    "\n",
    "#点击数\n",
    "c_old=len(data[data.dmp_id ==1][data.Label==1]) \n",
    "c_new=len(data[data.dmp_id ==3][data.Label==1]) \n",
    "\n",
    "#计算点击率\n",
    "r_old=c_old/n_old\n",
    "r_new=c_new/n_new\n",
    "\n",
    "#总和点击率\n",
    "r=(c_old+c_new)/(n_old+n_new) \n",
    "print(\"总和点击率：\",r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5e718624",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:42.331133Z",
     "start_time": "2025-04-17T01:45:42.324812Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检验统计量z: -59.44168632985996\n"
     ]
    }
   ],
   "source": [
    "#计算检验统计量Z\n",
    "z = (r_old-r_new)/np.sqrt(r*(1-r)*(1/n_old+1/n_new))\n",
    "print(\"检验统计量z:\",z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "41c5ae05",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:42.915734Z",
     "start_time": "2025-04-17T01:45:42.331133Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.6448536269514729"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看alpha=0.05对应的z分位数\n",
    "from scipy.stats import norm\n",
    "z_alpha = norm.ppf(0.05)\n",
    "z_alpha"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "337c27f4",
   "metadata": {},
   "source": [
    "z_alpha=-1.64，统计检验量z=-59.44\\\n",
    "该检验为左侧单尾检验，拒绝域为{z<z_alpha}\\\n",
    "得出结论**原假设不成立，策略二点击率的提升在统计上是显著的**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2be7d036",
   "metadata": {},
   "source": [
    "## 方法二：Python函数计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e4e017c9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T01:45:42.966583Z",
     "start_time": "2025-04-17T01:45:42.915734Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检验统计量z: -59.44168632985996  p值: 0.0\n"
     ]
    }
   ],
   "source": [
    "import statsmodels.stats.proportion as sp\n",
    "z_score, p = sp.proportions_ztest([c_old,c_new],[n_old,n_new])\n",
    "print(\"检验统计量z:\",z_score,\" p值:\",p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac8dff20",
   "metadata": {},
   "source": [
    "p<alpha\\\n",
    "与方法一结论相同，拒绝原假设\\\n",
    "再对策略一的点击率提升是否显著进行检验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f1a8bd52",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-04-17T02:08:19.686842Z",
     "start_time": "2025-04-17T02:08:19.601601Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检验统计量z: -14.165873564308429  p值: 1.4900243485475164e-45\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\joyar\\AppData\\Local\\Temp\\ipykernel_22908\\930658798.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  z_score, p = sp.proportions_ztest([c_old,len(data[data.dmp_id ==2][data.Label==1])],[n_old,len(data[data.dmp_id==2])])\n"
     ]
    }
   ],
   "source": [
    "z_score, p = sp.proportions_ztest([c_old,len(data[data.dmp_id ==2][data.Label==1])],[n_old,len(data[data.dmp_id==2])])\n",
    "print(\"检验统计量z:\",z_score,\" p值:\",p)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d6f31d7",
   "metadata": {},
   "source": [
    "p<alpha\\\n",
    "但是由于我们假设了对点击率的最小提升需求\\\n",
    "我们仍然建议对第二组策略进行推广"
   ]
  }
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